How supercomputers and data science improve health equity
Data diversity is an important step to improving health equity as data science applications continue to drive health care decisions.
Data diversity is an important step to improving health equity as data science applications continue to drive health care decisions.
At Meharry SACS, students can gain hands-on, practical experience working with health care, financial and other data. Applying classroom concepts to these datasets is important to strengthening their data science expertise and also helps them build a portfolio of projects for future career opportunities.
Each Black Friday, online and brick-and-mortar retailers seek to kick off a successful holiday shopping season through strategically targeted sales. Machine learning algorithms make these sophisticated cmampaigns possible by using big data to predict demand, even as it changes through consumer behavior.
Data diversity is an important step to improving health equity as data science applications continue to drive health care decisions.
Jane Yu, M.D., Ph.D., is a solution architect for Microsoft Corporation specializing in IT systems for data science, AI, and machine learning.
SACS is representing Meharry on the COVID-19 Consortium of HCA Healthcare and Academia for Research Generation (CHARGE).
The explosion of information presents exciting opportunities for industries to grow through data science. Health care, finance, energy, media and several other industries are discovering insights from big data through data science that help businesses make strategic decisions and optimize outcomes.
The potential to improve public health, clinical outcomes, treat complex diseases and advance drug discovery is possible through health care data science.
A master’s degree in data science can lead to attractive career opportunities and provide valuable real-world experiences.
Learning these in-demand data science skills will set you up for success in your career.